Epilepsy is a widespread neurological disorder characterized by recurring seizures that
have a significant impact on individuals' lives. Accurately recognizing epileptic seizures is …

Anomaly detection for flight data is crucial in maintaining the safety and stability of
unmanned aerial vehicles (UAVs), making it a topic of significant research and attention …

Automatic seizure detection plays a crucial role in epilepsy diagnosis and treatment.
Traditional machine learning based automatic seizure detection requires additional feature …

Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …

Automatic seizure detection plays a key role in assisting clinicians for rapid diagnosis and
treatment of epilepsy. In view of the parallelism of temporal convolutional network (TCN) and …

Epilepsy, a neurological disease associated with seizures, affects the normal behavior of
human beings. The unpredictability of epileptic seizures has caused great obstacles to the …

Epilepsy is a brain disorder that causes patients to suffer from convulsions, which affects
their behavior and way of life. Epilepsy can be detected with electroencephalograms …

EEG sinyalleri, bir çocukluk nörogelişimsel bozukluğu olan ADHD/Attention Deficit
Hyperactivity Disorder (Dikkat Eksikliği Hiperaktivite Bozukluğu) ile ilgili kritik bilgileri …

Epileptic seizures impact a patient's physical function and can cause irreversible damage to
the brain. Timely detection of these seizures is crucial for administering appropriate …

In current epilepsy disease research, accurate identification of epilepsy
electroencephalogram (EEG) signals is crucial for improving diagnostic efficiency and …